Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service
Yang, Zhen, Ding, Yongsheng, Jin, Yaochu and Hao, Kuangrong (2018) Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service IEEE Transactions on Cybernetics.
|
Text
Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service.pdf - Accepted version Manuscript Download (769kB) | Preview |
Abstract
The intelligent devices in Internet of Things (IoT) not only provide services, but also consider how to allocate heterogeneous resources and reduce resources consumption and service time as far as possible. This issue becomes crucial in the case of large-scale IoT environments. In order for the IoT service system to respond to multiple requests simultaneously and provide Pareto optimal decisions, we propose an immune- endocrine system inspired hierarchical coevolutionary multiobjective optimization algorithm (IE-HCMOA) in this paper. In IE-HCMOA, a multiobjective immune algorithm based on global ranking with vaccine (GRVIA) is designed to choose superior antibodies. Meanwhile, we adopt clustering in top population to make the operations more directional and purposeful and realize self-adaptive searching. And we use human forgetting memory mechanism to design two levels memory storage for the choice problem of solutions to achieve promising performance. In order to validate the practicability and effectiveness of IE-HCMOA, we apply it to the field of agricultural IoT service. The simulation results demonstrate that the proposed algorithm can obtain the best Pareto, the strongest exploration ability and excellent performance than NNIA and NSGA-II.
Item Type: | Article | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Divisions : | Faculty of Engineering and Physical Sciences > Computing Science | |||||||||||||||
Authors : |
|
|||||||||||||||
Date : | 18 September 2018 | |||||||||||||||
DOI : | 10.1109/TCYB.2018.2866527 | |||||||||||||||
Copyright Disclaimer : | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works | |||||||||||||||
Uncontrolled Keywords : | Coevolutionary optimization; Multiobjective optimization; Immune-endocrine systems; Hierarchical multipopulation; Internet of Things (IoT); Services selection | |||||||||||||||
Related URLs : | ||||||||||||||||
Depositing User : | Clive Harris | |||||||||||||||
Date Deposited : | 13 Aug 2018 08:50 | |||||||||||||||
Last Modified : | 15 Nov 2018 14:44 | |||||||||||||||
URI: | http://epubs.surrey.ac.uk/id/eprint/848902 |
Actions (login required)
![]() |
View Item |
Downloads
Downloads per month over past year